The computational molecular technology for complex reaction systems: The Red Moon approach

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Wiley Interdisciplinary Reviews: Computational Molecular Science Pub Date : 2024-05-16 DOI:10.1002/wcms.1714
Masataka Nagaoka
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Abstract

For dealing with complex reaction (CR) systems that show typical chemical phenomena in molecular aggregation states, the Red Moon (RM) approach is introduced based on a new efficient and systematic RM methodology. First, the theoretical background with my motivation to develop the RM approach is presented from the recent necessity to perform ‘atomistic’ molecular simulation of large-scale and long-term phenomena of (i) complex chemical reactions, (ii) stereospecificity, and (iii) aggregation structures. The RM methodology uses both the molecular dynamics (MD) method for molecular motions (translation, rotation, and vibration of molecules) that frequently occur on a short-time scale and the Monte Carlo (MC) method for rare events such as chemical reactions that hardly do on that time scale. Then, under the transition rate using both the potential energy difference before and after a rare event trial and its chemical kinetic probability, it is tested and judged by the MC method whether the trial is possible (Metropolis method). Next, typical applications of the RM approach are reviewed in two main research fields, (i) polymerization and (ii) storage battery (rechargeable battery or secondary cell), with various examples of our successful studies. Finally, we conclude that the RM approach using the RM methodology should become an efficient new-generation approach as one promising computational molecular strategy (CMT). We believe it will play an essential role in surveying, at the multilevel resolution, various specificities of CR systems in molecular aggregation states.

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复杂反应系统的计算分子技术:红月方法
复杂反应(CR)系统在分子聚集态下表现出典型的化学现象,为了处理这种现象,基于一种新的高效和系统的 RM 方法,介绍了红月亮(RM)方法。首先,介绍了我开发 RM 方法的理论背景和动机,即近年来对 (i) 复杂化学反应、(ii) 立体特异性和 (iii) 聚集结构等大规模和长期现象进行 "原子 "分子模拟的必要性。RM 方法同时使用分子动力学(MD)方法和蒙特卡罗(MC)方法,前者适用于在短时间内频繁发生的分子运动(分子的平移、旋转和振动),后者适用于在短时间内几乎不会发生的化学反应等罕见事件。然后,在使用罕见事件试验前后的势能差及其化学动力学概率的过渡率下,通过 MC 方法测试和判断试验是否可能(Metropolis 方法)。接下来,我们回顾了 RM 方法在两个主要研究领域的典型应用:(i) 聚合;(ii) 蓄电池(充电电池或二次电池),并列举了我们成功研究的各种实例。最后,我们得出结论,使用 RM 方法的 RM 方法应该成为一种高效的新一代方法,成为一种有前途的计算分子策略 (CMT)。我们相信,它将在以多级分辨率调查分子聚集状态下 CR 系统的各种特性方面发挥重要作用:
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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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